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Record W2888754789 · doi:10.1386/dmas.5.1.7_1

Image, imagination and the social imaginary: Solo improvisational dances of North Africa and the Middle East

2018· article· en· W2888754789 on OpenAlexaff
Barbara Sellers‐Young

Bibliographic record

VenueDance Movement & Spiritualities · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicOttoman Empire History and Society
Canadian institutionsYork University
Fundersnot available
KeywordsThe ImaginaryHollywoodEthosMiddle EastImprovisationNarrativeDanceArtHistoryVisual artsLiteratureArt historyPsychologyArchaeologyPsychoanalysisPhilosophy

Abstract

fetched live from OpenAlex

Abstract The solo improvisational dances of North Africa and the Middle East became part of popular discourse following Napoleon’s conquering of Egypt. Jean-Léon Gérôme (1824–1904) and other visual artists painted images depicting the dancers. Gustave Flaubert (1821–80) and others penned narratives of encounters with dancers. Oscar Wilde (1854–1900) wrote his play Salome (1893). Sol Bloom created the street scenes of dancers for the 1893 Chicago World’s Fair. Hollywood turned out countless ‘blood, sex and sand films’ by stars such as Rudolph Valentino (1895–1926). These images created in the nineteenth and early twentieth century became fixed in the popular imagination and dictated the conception of the dances of North Africa and the Middle East, and ultimately the ethos of the region itself. This article considers the impact these images have had on what Arjun Appadurai refers to as the social imaginary. By extension, it examines the impact of the imagination created within the vocabulary of the dances on the dialogue between North Africa and the Middle East, and the global community, including those who trace their lineage to this area and those who do not.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.013
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.279
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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